Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1A3F143728A4C393FA2376AE5EA7563BB225B726DEA8F0010D5BD03F187C6E85D913045 |
|
CONTENT
ssdeep
|
96:T+7Cfl6VdzITSyg9l5+sb2zWCa2ibQVk9ByG/I8VxlWoraq60mc35Nf6:S7CflSUeyGGF5icVoZ/vLlNaq60lg |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
ec685b53626646d9 |
|
VISUAL
aHash
|
00999183efffffff |
|
VISUAL
dHash
|
0d3337270a040000 |
|
VISUAL
wHash
|
00001881c3ffffff |
|
VISUAL
colorHash
|
07000000006 |
|
VISUAL
cropResistant
|
0d3337270a040000 |
Victim enters username and password into fake login form. Credentials are captured via JavaScript and exfiltrated to attacker's server in real-time.
Malicious code is obfuscated using 997 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)